Book Image

Artificial Intelligence and Machine Learning Fundamentals

By : Zsolt Nagy
Book Image

Artificial Intelligence and Machine Learning Fundamentals

By: Zsolt Nagy

Overview of this book

Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills!
Table of Contents (10 chapters)
Artificial Intelligence and Machine Learning Fundamentals
Preface

Chapter 1. Principles of Artificial Intelligence

Note

Learning Objectives

By the end of this lesson, you will be able to:

  • Describe the various fields of AI

  • Explain the main learning models used in AI

  • Explain why Python is a popular language for AI projects

  • Model the state space in AI for a given game

Note

In this lesson, you will learn about the purpose, fields, and applications of AI, coupled with a short summary of the features we'll use in Python.